- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Topic:
Optimize Multi-Core applications with the Intel Math Kernel Library
Date and Time:
Wednesday, November 2, 2005
2:00 pm, Eastern Daylight Time (GMT -04:00, New York)
Wednesday, November 2, 2005
1:00 pm, Central Daylight Time (GMT -05:00, Chicago)
Wednesday, November 2, 2005
12:00 pm, Mountain Daylight Time (GMT -06:00, Denver)
Wednesday, November 2, 2005
11:00 am, Pacific Daylight Time (GMT -07:00, San Francisco)
Duration:
1 hour
Description:
To take advantage of the potential performance increases afforded by dual- and multi-core processors, the software running on the platform must be written such that it can spread its workload across multiple execution cores, called thread-level parallelism or "threading." With threading comes a new class of problems for developers compared to development of sequential applications. The Intel Math Kernel Library (Intel MKL) provides a means for developers to quickly and easily utilize multi-core processors because many of the most important functions in Intel MKL are already threaded. We will discuss the functionality that Intel MKL provides and how to turn on the built-in threading in its functions. An example will be given showing how to optimize code by making calls to Intel MKL.
1 hour
Description:
To take advantage of the potential performance increases afforded by dual- and multi-core processors, the software running on the platform must be written such that it can spread its workload across multiple execution cores, called thread-level parallelism or "threading." With threading comes a new class of problems for developers compared to development of sequential applications. The Intel Math Kernel Library (Intel MKL) provides a means for developers to quickly and easily utilize multi-core processors because many of the most important functions in Intel MKL are already threaded. We will discuss the functionality that Intel MKL provides and how to turn on the built-in threading in its functions. An example will be given showing how to optimize code by making calls to Intel MKL.
For more information and registration details, visit webinar page:
https://programmersparadise.webex.com/programmersparadise/onstage/g.php?d=718189906&t=a
https://programmersparadise.webex.com/programmersparadise/onstage/g.php?d=718189906&t=a
Message Edited by ChaoY on 10-10-2005 08:30 PM
Link Copied
0 Replies
Reply
Topic Options
- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page